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:: Volume 2, Issue 1 (6-2014) ::
jgit 2014, 2(1): 55-73 Back to browse issues page
mparison between Two Statistical Processing Methods of Multi-Beam Echo-Sounder Data on Histogram Matching
Samane Lesani-Gooya *, Alireza Amiri-Simkooei, Mehdi Momeni-Shahraki, Nafise Kakhani
University of Isfahan
Abstract:   (4897 Views)
At present, applying the acoustic approaches and equipments has been increasingly used for gathering information from seafloor to produce maps with numerous applications. Multi-beam echo-sounder (MBES) is an acoustic system that measures both the depth and the backscatter strength, simultaneously. Such systems transmit a series of beams to the seafloor and receive their backscatter strengths (BS). They can be described as a function of the incident angle based on the Lambert law. Seafloor sediment classification is an important application of these data. In different studies, angular dependence has been used for this purpose. A complication occurs when the sediment types change along the swath, because it is difficult to separate from the beam angular dependence and the true backscatter strength variations. Therefore, these data should become independence of the angle. In this paper, two statistical methods based on the histogram matching are compared for removing the angular dependence: 1) histogram matching using the statistical moments, and 2) histogram matching using the image processing technique. These methods will register the BS data of large grazing angles (close to nadir) to the reference low grazing angle. Finally we will apply the two methods to a MBES data set of the Waal river, the Netherlands and compare the results.
Keywords: Multi-Beam Echo-Sounder (MBES), Backscatter Strength, Angular Dependence, Histogram Matching, Statistical Moment
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Type of Study: Research |
Received: 2015/07/11 | Accepted: 2015/07/11 | Published: 2015/07/11
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Lesani-Gooya S, Amiri-Simkooei A, Momeni-Shahraki M, Kakhani N. mparison between Two Statistical Processing Methods of Multi-Beam Echo-Sounder Data on Histogram Matching. jgit. 2014; 2 (1) :55-73
URL: http://jgit.kntu.ac.ir/article-1-112-en.html


Volume 2, Issue 1 (6-2014) Back to browse issues page
نشریه علمی-پژوهشی مهندسی فناوری اطلاعات مکانی Engineering Journal of Geospatial Information Technology
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